Bridge Gemini Enterprise and Snowflake with Google ADK
Enterprise AI needs to go beyond simple chat interfaces. To provide real value, AI agents must access your data warehouses to generate actionable insights, all while maintaining strict security and data governance.
This guide explores how to build a secure bridge between Google Cloud’s Gemini Enterprise and Snowflake. By using the Model Context Protocol (MCP) and the Google Agent Development Kit (ADK), you can empower your agent to act as an assistant that understands natural language, generates precise SQL via Snowflake Cortex and executes queries with user-level permissions.
Choosing the right integration pattern
Direct Connection vs. custom orchestration
The Google ADK architecture demonstrated in this post represents the advanced / custom orchestration pattern. It is designed for developers building complex, multi-agent systems on Google Cloud, such as workflows that combine Snowflake insights with external enterprise tools, custom reasoning loops, or cross-platform state management in Gemini Agent Engine.
For standard enterprise...
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